Instructions to use alimama-creative/SD3-Controlnet-Inpainting with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use alimama-creative/SD3-Controlnet-Inpainting with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("alimama-creative/SD3-Controlnet-Inpainting", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download images/3.png from alimama-creative/SD3-Controlnet-Inpainting: direct link, hf CLI and curl.
- Browser
- Download file 4.13 MB
-
https://huggingface.co/alimama-creative/SD3-Controlnet-Inpainting/resolve/main/images/3.png
- Command line
-
hf download hf://alimama-creative/SD3-Controlnet-Inpainting/images/3.png
-
curl -L -o 3.png https://huggingface.co/alimama-creative/SD3-Controlnet-Inpainting/resolve/main/images/3.png
4.13 MB

- Xet hash:
- a0b69c709b5a98a3f0118ae561d7a718d45e7aa36fea3620833c0f6f62e496bf
- Size of remote file:
- 4.13 MB
- SHA256:
- 41fc30201a6a4e9b7d55067fd044864fa209c4ac6d3bd74d416fc65f123e0b88
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